Kai‐Lun Cheng

28 papers receiving 237 citations

Peers

Kai‐Lun Cheng
Comparison fields: 5 of 70
  • Otorhinolaryngology 19
  • Endocrinology, Diabetes and Metabolism 73
  • Surgery 58
  • Cardiology and Cardiovascular Medicine 19
  • Oral Surgery 6
Replace Nazila Esmaeili with:
Nazila Esmaeili Germany
Haiyan Du China
Hugo W. de Jong Netherlands
Anouk Borg United Kingdom
Nosheen Fatima Pakistan
Mitsuru Ikeda Japan
Silvana Sdao Italy
Zhiyan Luo China
Ghobad Azizi United States
Almudena Pérez Lara Canada
Kai‐Lun Cheng relative to Nazila Esmaeili Germany Nazila Esmaeili's profile →
Citations per field
00.5×6.1×
Nazila Esmaeili · 1×
Citations per year

Countries citing papers authored by Kai‐Lun Cheng

Since Specialization
Citations

This map shows the geographic impact of Kai‐Lun Cheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kai‐Lun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Lun Cheng more than expected).

Fields of papers citing papers by Kai‐Lun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Lun Cheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai‐Lun Cheng. The network helps show where Kai‐Lun Cheng may publish in the future.

Co-authors

The 25 scholars most cited alongside Kai‐Lun Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai‐Lun Cheng Line = papers co-authored together Kai‐Lun Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202025
2 201224
3 202323
4 202218
5 202217
6 201417
7 201915
8 201515
9 201913
10 202111
11 20187
12 20237
13 20167
14 20206
15 20215
16
Business failure prediction model based on grey prediction and rough set theory
20095
17
Clinical and echocardiographic features of mitral valve prolapse patients in a local population.
19963
18 20103
19 20143
20 20162

About Kai‐Lun Cheng

Kai‐Lun Cheng is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Otorhinolaryngology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 240 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (8 papers), Head and Neck Cancer Studies (4 papers), Thyroid and Parathyroid Surgery (2 papers), Head and Neck Anomalies (2 papers), Ultrasound Imaging and Elastography (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Vascular Procedures and Complications (1 paper). The work is most often cited by research in Otorhinolaryngology (19 citations), Endocrinology, Diabetes and Metabolism (73 citations), Surgery (58 citations), Cardiology and Cardiovascular Medicine (19 citations) and Oral Surgery (6 citations). Kai‐Lun Cheng has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Wei‐Che Lin, Sheng‐Dean Luo, Wei‐Chih Chen, Jung Hwan Baek, Chen‐Kai Chou, Wen‐Ren Jong, Hsiu-Ling Chen, Yan-Ye Su, Pi‐Ling Chiang and Fuh‐Sheng Shieu. Their work appears in journals such as Clinical Radiology, Frontiers in Endocrinology, American Journal of Neuroradiology, Journal of Clinical Oncology and Journal of Personalized Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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